Works matching IS 15324435 AND DT 2019

Results: 159

DPPy: DPP Sampling with Python.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Gautiery, Guillaume;
Politoy, Guillermo;
Bardenety, Rémi;
Valkoz, Michal

Publication type:

Article

Model Selection in Bayesian Neural Networks via Horseshoe Priors.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Ghosh, Soumya;
Jiayu Yao;
Doshi-Velez, Finale

Publication type:

Article

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Castro, Daniel C.;
Tan, Jeremy;
Kainz, Bernhard;
Konukoglu, Ender;
Glocker, Ben

Publication type:

Article

Differentiable reservoir computing.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Grigoryeva, Lyudmila;
Ortega, Juan-Pablo

Publication type:

Article

Neural Empirical Bayes.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Saremi, Saeed;
Hyvärinen, Aapo

Publication type:

Article

Why do deep convolutional networks generalize so poorly to small image transformations?

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Azulay, Aharon;
Weiss, Yair

Publication type:

Article

Determinantal Point Processes for Coresets.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Tremblay, Nicolas;
Barthelmé, Simon;
Amblard, Pierre-Olivier

Publication type:

Article

On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Kamper, Francois;
Steel, Sarel J.;
du Preez, Johan A.

Publication type:

Article

Stochastic Canonical Correlation Analysis.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Chao Gao;
Garber, Dan;
Srebro, Nathan;
Jialei Wang;
Weiran Wang

Publication type:

Article

New Convergence Aspects of Stochastic Gradient Algorithms.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Nguyen, Lam M.;
Phuong Ha Nguyen;
Richtárik, Peter;
Scheinberg, Katya;
Takác, Martin;
van Dijk, Marten

Publication type:

Article

Fast Automatic Smoothing for Generalized Additive Models.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

El-Bachir, Yousra;
Davison, Anthony C.

Publication type:

Article

Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Ahsen, Mehmet Eren;
Vogel, Robert M.;
Stolovitzky, Gustavo A.

Publication type:

Article

DBSCAN: Optimal Rates For Density-Based Cluster Estimation.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Daren Wang;
Xinyang Lu;
Rinaldo, Alessandro

Publication type:

Article

Learning Overcomplete, Low Coherence Dictionaries with Linear Inference.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Livezey, Jesse A.;
Bujan, Alejandro F.;
Sommer, Friedrich T.

Publication type:

Article

Shared Subspace Models for Multi-Group Covariance Estimation.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Franks, Alexander M.;
Hoff, Peter

Publication type:

Article

Embarrassingly Parallel Inference for Gaussian Processes.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Minyi Zhang, Michael;
Williamson, Sinead A.

Publication type:

Article

DataWig: Missing Value Imputation for Tables.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Bießmann, Felix;
Rukat, Tammo;
Schmidt, Phillipp;
Naidu, Prathik;
Schelter, Sebastian;
Taptunov, Andrey;
Lange, Dustin;
Salinas, David

Publication type:

Article

All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Fisher, Aaron;
Rudin, Cynthia;
Dominici, Francesca

Publication type:

Article

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Cotter, Andrew;
Heinrich Jiang;
Gupta, Maya;
Serena Wang;
Narayan, Taman;
Seungil You;
Sridharan, Karthik

Publication type:

Article

The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Sondhi, Arjun;
Shojaie, Ali

Publication type:

Article

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Jie Wang;
Zhanqiu Zhang;
Jieping Ye

Publication type:

Article

A Kernel Multiple Change-point Algorithm via Model Selection.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Arlot, Sylvain;
Celisse, Alain;
Harchaoui, Zaid

Publication type:

Article

Sparse Kernel Regression with Coefficient-based ℓregularization.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Lei Shi;
Xiaolin Huang;
Yunlong Feng;
Suykens, Johan A. K.

Publication type:

Article

Learning by Unsupervised Nonlinear Diffusion.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 160, p. 1

By:

Maggioni, Mauro;
Murphy, James M.

Publication type:

Article

Optimal Convergence Rates for Convex Distributed Optimization in Networks.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Scaman, Kevin;
Bach, Francis;
Bubeck, Sébastien;
Yin Tat Lee;
Massoulié, Laurent

Publication type:

Article

Quantifying Uncertainty in Online Regression Forests.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Vasiloudis, Theodore;
De Francisci Morales, Gianmarco;
Boström, Henrik

Publication type:

Article

GraSPy: Graph Statistics in Python.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Jaewon Chung;
Pedigo, Benjamin D.;
Bridgeford, Eric W.;
Varjavand, Bijan K.;
Helm, Hayden S.;
Vogelstein, Joshua T.

Publication type:

Article

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Yuntao Chen;
Chenxia Han;
Yanghao Li;
Zehao Huang;
Yi Jiang;
Naiyan Wang;
Zhaoxiang Zhang

Publication type:

Article

Convergence guarantees for a class of non-convex and non-smooth optimization problems.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Khamaru, Koulik;
Wainwright, Martin J.

Publication type:

Article

On Asymptotic and Finite-Time Optimality of Bayesian Predictors.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Ryabko, Daniil

Publication type:

Article

Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Bin Li;
Yik-Chung Wu

Publication type:

Article

Characterizing the Sample Complexity of Pure Private Learners.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Beimel, Amos;
Nissim, Kobbi;
Stemmer, Uri

Publication type:

Article

Bayesian Optimization for Policy Search via Online-Offline Experimentation.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Letham, Benjamin;
Bakshy, Eytan

Publication type:

Article

High-dimensional Varying Index Coefficient Models via Stein's Identity.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Sen Na;
Zhuoran Yang;
Zhaoran Wang;
Kolar, Mladen

Publication type:

Article

Learning Optimized Risk Scores.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Ustun, Berk;
Rudin, Cynthia

Publication type:

Article

Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Pfister, Niklas;
Weichwald, Sebastian;
Bühlmann, Peter;
Schölkopf, Bernhard

Publication type:

Article

Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Maroulas, Vasileios;
Mike, Joshua L.;
Oballe, Christopher

Publication type:

Article

Collective Matrix Completion.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Alaya, Mokhtar Z.;
Klopp, Olga

Publication type:

Article

Minimal Sample Subspace Learning: Theory and Algorithms.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Zhenyue Zhang;
Yuqing Xia

Publication type:

Article

Approximation algorithms for stochastic clustering.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Harris, David G.;
Shi Li;
Pensyl, Thomas;
Srinivasan, Aravind;
Trinh, Khoa

Publication type:

Article

Multiclass Boosting: Margins, Codewords, Losses, and Algorithms.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Saberian, Mohammad;
Vasconcelos, Nuno

Publication type:

Article

Generalized maximum entropy estimation.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Sutter, Tobias;
Sutter, David;
Esfahani, Peyman Mohajerin;
Lygeros, John

Publication type:

Article

Nonparametric Bayesian Aggregation for Massive Data.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Zuofeng Shang;
Botao Hao;
Guang Cheng

Publication type:

Article

Decentralized Dictionary Learning Over Time-Varying Digraphs.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Daneshmand, Amir;
Ying Sun;
Scutari, Gesualdo;
Facchinei, Francisco;
Sadler, Brian M.

Publication type:

Article

Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Ji Chen;
Xiaodong Li

Publication type:

Article

Provably Accurate Double-Sparse Coding.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1

By:

Nguyen, Thanh V.;
Wong, Raymond K. W.;
Hegde, Chinmay

Publication type:

Article

Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1

By:

Trillos, Nicolás García;
Sanz-Alonso, Daniel;
Ruiyi Yang

Publication type:

Article

Gaussian Processes with Linear Operator Inequality Constraints.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1

By:

Agrell, Christian

Publication type:

Article

Stochastic Variance-Reduced Cubic Regularization Methods.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1

By:

Dongruo Zhou;
Pan Xu;
Quanquan Gu

Publication type:

Article

Logical Explanations for Deep Relational Machines Using Relevance Information.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1

By:

Srinivasan, Ashwin;
Vig, Lovekesh;
Bain, Michael

Publication type:

Article